mynn

A hobbyist no-std neural network library.

Explaination

This is a small library (currently ~200 lines minus doc comments and helper macros) I initially created during my lunch break when I had attempted to represent the shape of a neural network in Rust's type system, the result was I was able to make all the vectors into fixed sized arrays and allow the neural network to be no-std and in theory usable on microcontroller and embedded platforms.

See this example of a pre-trained model approximating an XOR running on an ATtiny85.

Installation

Command line:

cargo add mynn 

Cargo.toml:

mynn = "0.1.1" 

To use f32 in all operations, supply the f32 flag:

mynn = { version = "0.1.1", features = ["f32"] }

Example

Short example approximates the output of a XOR gate.

use mynn::make_network;
use mynn::activations::SIGMOID;

fn main() {
    let inputs = [[0.0, 0.0],  [0.0, 1.0], [1.0, 0.0],  [1.0, 1.0]];
    let targets = [[0.0], [1.0], [1.0], [0.0]];


    let mut network = make_network!(2, 3, 1);
    network.train(0.5, inputs, targets, 10_000, &SIGMOID);


    println!("0 and 0: {:?}", network.predict([0.0, 0.0], &SIGMOID));
    println!("1 and 0: {:?}", network.predict([1.0, 0.0], &SIGMOID));
    println!("0 and 1: {:?}", network.predict([0.0, 1.0], &SIGMOID));
    println!("1 and 1: {:?}", network.predict([1.0, 1.0], &SIGMOID));
}